AI & ML Applications in Reservoir Engineering
This workshop examines how artificial intelligence and machine learning are reshaping reservoir engineering by enhancing prediction accuracy, streamlining workflows, and enabling data-driven decision-making. Participants will explore practical applications that improve reservoir modeling, production forecasting, and operational efficiency.
Workshop Objectives
• Understand the role of AI and ML in modern reservoir engineering.
• Learn techniques for applying predictive models to reservoir performance.
• Explore case-based applications in production optimization and risk reduction.
• Identify best practices for integrating AI/ML into reservoir workflows.
About the Presenter
The workshop will be conducted by an experienced professional in reservoir engineering, digital transformation, and data analytics. Combining technical depth with applied industry knowledge, the presenter offers practical guidance on leveraging AI and ML to drive efficiency and value in oil and gas operations.
Applied Python for Oil & Gas
This workshop teaches practical Python programming tailored for the oil and gas industry. Participants will learn to automate workflows, manage large datasets, perform petrophysical and production data analysis, and integrate Python with industry-standard software tools. The course emphasizes real-world applications such as reservoir monitoring, production optimization, and data-driven decision-making.